Qwen3.6-Max-Preview
Made by Alibaba, released 20 Apr 2026. Epoch AI does not state how it can be accessed. Appears solid at knowledge among the models listed here.
In short
What it does well
- Knowledge: Strong (20th of 43 listed models)
Where it falls short
- Coding: Middle (50th of 77 listed models)
- Writing: Middle (48th of 77 listed models)
What we don't know yet
- Hard maths problems: Not enough data
- Difficult coding tasks: Not enough data
The four ratings
- Top tier
- Strong
- Middle
- Behind the leaders
- Not enough data
Ratings compare only the 77 models listed here, in quarters, best first. “Not enough data” means no result yet. It is never a low score.
- Writing
- MiddleHow often people preferred its answers to writing prompts. 1,435 on Arena's scale · Source for Qwen3.6-Max-Preview writing score (lmarena)
- Coding
- MiddleHow often people preferred its answers to coding questions. 1,471 on Arena's scale · Source for Qwen3.6-Max-Preview coding score (lmarena)
- Maths
- Not enough dataNo result yet for hard maths problems.
- Knowledge
- StrongHow many short factual questions it answered correctly. 52.0% · Source for Qwen3.6-Max-Preview knowledge score (epoch)
Evidence completeness: Broad evidence, 11 of 13 tests have a result.
Where it is relatively stronger or weaker
This compares each kind of request with the model's own overall position among the 77 listed models, using Arena's votes. It is about performance on different languages, kinds of request and topics, not about political or social bias.
Relatively stronger
No category stands out as clearly stronger than its overall position.
Relatively weaker
No category stands out as clearly weaker than its overall position.
Show every category we can see
| Category | Position | Arena score | Votes | Source |
|---|---|---|---|---|
| Expert-level prompts Kind of request | 44th of 77 | 1,477 95% range 1,452 to 1,502 | 555 | Source for Expert-level prompts |
| Hard prompts Kind of request | 51st of 77 | 1,457 95% range 1,446 to 1,467 | 3,568 | Source for Hard prompts |
| Long prompts Kind of request | 45th of 77 | 1,457 95% range 1,444 to 1,470 | 2,297 | Source for Long prompts |
| Longer conversations Kind of request | 45th of 77 | 1,455 95% range 1,435 to 1,474 | 929 | Source for Longer conversations |
| Chinese Language | 54th of 76 | 1,489 95% range 1,458 to 1,520 | 356 | Source for Chinese |
| English prompts Language | 55th of 77 | 1,451 95% range 1,439 to 1,463 | 2,471 | Source for English prompts |
| Non-English prompts Language | 48th of 77 | 1,437 95% range 1,426 to 1,447 | 2,948 | Source for Non-English prompts |
| Russian Language | 54th of 77 | 1,445 95% range 1,420 to 1,470 | 583 | Source for Russian |
| Entertainment, sport and media Topic | 49th of 77 | 1,423 95% range 1,404 to 1,442 | 1,004 | Source for Entertainment, sport and media |
| Law and government Topic | 50th of 76 | 1,453 95% range 1,423 to 1,483 | 402 | Source for Law and government |
| Medicine and health Topic | 40th of 75 | 1,459 95% range 1,428 to 1,491 | 369 | Source for Medicine and health |
| Science Topic | 40th of 77 | 1,466 95% range 1,447 to 1,485 | 930 | Source for Science |
| Software and IT Topic | 53rd of 77 | 1,466 95% range 1,453 to 1,478 | 2,257 | Source for Software and IT |
Bias: what we can and can't see
Our sources do not measure political lean, stereotyping, flattery (agreeing with you too readily) or safety behaviour, so we cannot say how any model does on those. What we can show is above: where a model is relatively stronger or weaker across languages, kinds of request and topics. Also, people voting in Arena can favour answer style, such as length and formatting, and our numbers do not adjust for that. See what AI bias means and what these tests can tell you.
Best-supported use cases
- Homework and maths: not ranked, because there is not enough data for the main test.
Where an alternative might be more suitable
- Writing and creating content: rated Middle on writing votes. Compare it with Claude Opus 5.5, the best-supported choice for this task.
- Coding and building things: rated Middle on coding votes. Compare it with Claude Opus 5.5, the best-supported choice for this task.
- Homework and maths: no result on hard maths problems, so we cannot say. See which models the evidence does support.
- Business emails and everyday work: rated Behind the leaders on business-task votes. Compare it with Gemini 4 Argon, the best-supported choice for this task.
- Research and checking facts: rated Strong on short factual questions. Compare it with Gemini 4 Argon, the best-supported choice for this task.
What it is
- Maker
- Alibaba
- Release date (Epoch AI)
- 20 Apr 2026
- Access, as listed by Epoch AI
- Not stated
- Licence, as listed by Arena
- Proprietary
- Maker's country (Epoch AI)
- China
- Last observation in our data
- 28 Oct 2026
- Data last changed
- 29 Oct 2026, 14:36 UTC
We have not verified an official product page for this model, so we do not link to one.
How you can use it
Proprietary. The model's files are not published, so it is generally available only through its maker or partners the maker chooses.
How you can reach it (an app, a website, a developer API or a third-party tool) and what that costs are not covered by our benchmark data. Where we could verify prices from the maker's own pages, they are shown under Price. See models, apps and harnesses and how AI pricing works.
Price
Price not independently verified
We have not been able to check this maker's own pricing page, so we show nothing for it.
We never infer subscription prices from API prices. New to “tokens” and “per million”? See how AI pricing works.
Good to remember
- Benchmarks are samples of tasks. None proves performance in every situation.
- Arena scores come from people choosing between answers. That measures preference, not correctness.
- Ratings are relative to the 77 models listed here. A different set would change them.
- Sources test models at different settings. Each result shows the setting used, and we do not adjust it.
The evidence, for the curious
Show all 13 tests with settings and sources
| Test | Result | Rating | Setting used | Source identifier | Observed | Links |
|---|---|---|---|---|---|---|
| Arena text: overall preference Arena 'text' leaderboard (Bradley-Terry rating, no style control) |
1,447 Arena score 95% range 1,439 to 1,455, 5,419 votes |
Middle | effort: not stated, bradley-terry rating | Qwen3.6-Max-Preview lmarena · text/latest |
28 Oct 2026 | Source for Qwen3.6-Max-Preview Arena text: overall preference score (lmarena) |
| Arena text: creative writing Arena 'text' leaderboard, category creative_writing |
1,435 Arena score 95% range 1,412 to 1,457, 756 votes |
Middle | effort: not stated, bradley-terry rating | Qwen3.6-Max-Preview lmarena · text/latest |
28 Oct 2026 | Source for Qwen3.6-Max-Preview Arena text: creative writing score (lmarena) |
| Arena text: coding Arena 'text' leaderboard, category coding |
1,471 Arena score 95% range 1,456 to 1,486, 1,613 votes |
Middle | effort: not stated, bradley-terry rating | Qwen3.6-Max-Preview lmarena · text/latest |
28 Oct 2026 | Source for Qwen3.6-Max-Preview Arena text: coding score (lmarena) |
| Arena text: maths Arena 'text' leaderboard, category math |
1,464 Arena score 95% range 1,435 to 1,493, 379 votes |
Middle | effort: not stated, bradley-terry rating | Qwen3.6-Max-Preview lmarena · text/latest |
28 Oct 2026 | Source for Qwen3.6-Max-Preview Arena text: maths score (lmarena) |
| Arena text: following instructions Arena 'text' leaderboard, category instruction_following |
1,439 Arena score 95% range 1,425 to 1,453, 1,891 votes |
Middle | effort: not stated, bradley-terry rating | Qwen3.6-Max-Preview lmarena · text/latest |
28 Oct 2026 | Source for Qwen3.6-Max-Preview Arena text: following instructions score (lmarena) |
| Arena text: business and management Arena 'text' leaderboard, category industry_business_and_management_and_financial_operations |
1,427 Arena score 95% range 1,409 to 1,446, 1,072 votes |
Behind the leaders | effort: not stated, bradley-terry rating | Qwen3.6-Max-Preview lmarena · text/latest |
28 Oct 2026 | Source for Qwen3.6-Max-Preview Arena text: business and management score (lmarena) |
| Arena WebDev: building web apps Arena 'webdev' leaderboard (Code Arena), category overall |
1,482 Arena score 95% range 1,469 to 1,494, 2,700 votes |
Middle | effort: not stated, bradley-terry rating | Qwen3.6-Max-Preview lmarena · webdev/latest |
28 Oct 2026 | Source for Qwen3.6-Max-Preview Arena WebDev: building web apps score (lmarena) |
| FrontierMath Tiers 1-3 (v2) | Not enough data | |||||
| OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025, benchmark released 2024-12-19 |
91.1% share of problems solved standard error ±4.3 points |
Middle | effort: not stated, best score across scorers | qwen3.6-max-preview epoch · otis_mock_aime_2024_2025.csv |
7 Aug 2026 | Source for Qwen3.6-Max-Preview OTIS Mock AIME 2024-2025 score (epoch) · Run details for OTIS Mock AIME 2024-2025 |
| GPQA Diamond GPQA Diamond, benchmark released 2023-11-20 |
87.4% share of questions correct standard error ±2.4 points |
Behind the leaders | effort: not stated, best score across scorers | qwen3.6-max-preview epoch · gpqa_diamond.csv |
7 Aug 2026 | Source for Qwen3.6-Max-Preview GPQA Diamond score (epoch) · Run details for GPQA Diamond |
| SimpleQA Verified SimpleQA Verified, benchmark released 2025-09-09 |
52.0% share of questions correct standard error ±1.6 points |
Strong | effort: not stated, best score across scorers | qwen3.6-max-preview epoch · simpleqa_verified.csv |
27 Aug 2026 | Source for Qwen3.6-Max-Preview SimpleQA Verified score (epoch) · Run details for SimpleQA Verified |
| SWE-bench Verified (Epoch runs) SWE-bench Verified, benchmark released 2024-08-13, as run by Epoch AI |
76.7% share of issues resolved standard error ±1.9 points |
Strong | effort: not stated, best score across scorers | qwen3.6-max-preview epoch · swe_bench_verified.csv |
28 May 2026 | Source for Qwen3.6-Max-Preview SWE-bench Verified (Epoch runs) score (epoch) · Run details for SWE-bench Verified (Epoch runs) |
| FrontierCode (reported by Cognition) | Not enough data | |||||
Missing evidence
Not enough data for these tests:
- FrontierMath Tiers 1-3 (v2)
- FrontierCode (reported by Cognition)
Missing results are not low scores and do not count against the model.
Where a source gives no public run log, we cannot show the run behind the score. See data sources.
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